Description
Experience must be in designing/implementing
machine learning, data science, advanced analytical
algorithms, programming (skill in at least one high-
level language (e.g. Python)), statistical analysis (e.g.
variability, sampling error, inference, hypothesis
testing, EDA, application of linear models), data
management (e.g. data cleaning and transformation),
data mining, data modeling and assessment, artificial
intelligence, and/or software engineering. Experience
in more than one area is strongly preferred.
Requirements
Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in National Agency data holdings.
Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge.
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting National Agency collection, processing, storage, and analytic capability and limitations.
Knowledge of agency specific tools and methodologies
Strong critical thinking and collaboration skills
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language ( e.g. Python), statistical analysis ( e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management ( e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning)and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence).
Military or applicable government work experience in lieu of technical degree.